Steve Worswick


Steve Worswick on BBC News

Jan 9, 2016

I was interviewed live on BBC News by Smitha Mundasad when I was taking part in the 2015 Loebner Prize at Bletchley Park. Mitsuku finished in second place just missing out on the top spot by half a point.

It was originally due to be broadcast earlier in the day but air strikes in the Middle East took priority. Fancy that being more important than the Loebner Prize?! ;)
 

How I built the world's no. 1 conversational agent, Mitsuku, with Steve Worswick

Jul 21, 2018

We speak to the creator of the world’s best chatbot about how to design Loebner prize-winning conversational experiences.

Steve Worswick is the creator of Mitsuku, the general conversation chatbot that has won the Loebner prize for the last two year’s straight.

13 years in the making, Mitsuku convinced a panel of judges that it’s the most humanlike bot over the course of a 20 minute conversation, two years in a row, to be crowned the world’s best chatbot and conversational agent.

It’s featured in the Wall Street Journal, BBC, The Guardian and Wired. And, unlike most chatbots that focus on serving a specific set of use cases, Mitsuku is a general conversational agent. That means you can speak to it about anything.

This week’s Flash Briefing question is from Brielle Nickoloff of Witlingo: What would an open source voice assistant look like? Send us your thoughts and you could feature on the VUX World Flash Briefing this week!
What about voice?
Although Mitsuku is a text-based chatbot, this episode looks at how to take Steve’s 13 years of experience in creating conversational experiences and apply that to the voice first space.

In this episode
This episode is all about how to design and create a world-leading general conversational experience.

We get into detail about how Mitsuku is built (hint: it doesn’t use natural language processing or machine learning like most other conversational AI) and how Natural Language Processing-based conversational agents don’t quite hit the mark.

Steve tells us about Mitsuku’s rule-based supervised learning and how that’s leading to better experiences.

Despite Mitsuku passing the Turing test, Steve tells us why the Turing test is redundant.


We discuss user behaviour and how people treat a general conversational agent, from counselling to romance, bullying to marriage and money worries, and how to be sensitive on those topics.

We hear how varied responses can increase engagement. So much so that one person has spent 9 hours talking to Mitsuku!

We find out how to deal with pronoun resolution and how to refer back to what was said earlier in the conversation.

We uncover how brands are using Mitsuku as part of their conversational experiences, handing off to her when a user strays away from the use cases that their bot can handle.

We chat about how Alexa fairs against Mitsuku as is shown in this video:


And hear where Siri would have finished if it was entered in to the Loebner prize competition.

Perhaps one of the most valuable lessons in this episode is the importance of persisting. Creating a conversational agent, a true conversational experience, takes time. It’s not a quick fix that you cobble together with a quick Alexa Skill. It takes years of development, iteration and constant improvement. But, if you stick with it, you might end up with the next best conversational agent.

Our guest
Steve Worswick started out in IT support and built Mitsuku as a passion project on the side. 13 years of hard work and 3 Loebner prizes later, he’s now working at the world’s largest chatbot agency and provider, PandoraBots.
 

Preview -  Steve Worswick

Oct 10, 2018

Mitsuku’s AI Developer and Creator Steve Worswick knows: if you want to create a human-like chatbot, that can handle human conversations, you need to think (and act) like humans do when talking to a chatbot, and work hard. Really hard, maybe more than 13 years, but certainly you will need to invest time, money and knowledge on this. However, it’s possible and feasible to create delightful conversations if your bot delivers the experience that it says that it can do.
 

How to (artificially) have conversations like humans

Oct 11, 2018

Mitsuku’s AI Developer and Creator Steve Worswick knows: if you want to create a human-like chatbot, that can handle human conversations, you need to think (and act) like humans do when talking to a chatbot, and work hard. Really hard, maybe more than 13 years, but certainly you will need to invest time, money and knowledge on this. However, it’s possible and feasible to create delightful conversations if your bot delivers the experience that it says that it can do.
 
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